In between course work, lectures and the occasional crisis, dating at Imperial can feel impossible. However, do not fear, we at Felix (naturally) are here to help in this problem that can’t quite be ...

Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional ...

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

Abstract: Block diagrams and signal-flow graphs are used to represent and to obtain the transfer function of interconnected systems. The reduction of signal-flow graphs is considered simpler than the ...

In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture and three operating systems (Windows, Ubuntu and Mac OS ...

Knowledge graphs are a big trend nowadays, but they aren’t as widely known in the data science world. Why? asks Neo4j’s Maya Natarajan The Turing Institute frames knowledge graphs as the best way to ...

Graphs are always helpful to visualize the data and it becomes very easy to find trends and patterns by looking at them. There are many software available to plot graphs based on the input values, ...